About this role

ABOUT THE ROLE This is a rare opportunity to join a Series A AI data and services company as a Founding ML Engineer, working directly alongside the founding team to build and scale core machine learning systems from the ground up. You will bridge research and engineering — designing, training, and shipping production-grade models for top AI frontier labs — while helping shape the company's technical culture and infrastructure.

The company specializes in high-quality training and post-training data, reinforcement learning environments, and intelligent agents that accelerate AI model performance for both frontier labs and enterprises. This is a high-ownership, high-impact role: your work will directly establish the foundation for how the team delivers measurable ML outcomes. Visa sponsorship is not available for this role. WHAT YOU'LL DO - Build and optimize end-to-end ML pipelines, from data ingestion through to deployment.

- Implement and fine-tune LLMs, embeddings, and generative models for real-world applications. - Develop efficient training and inference systems leveraging distributed compute. - Partner with data and product teams to translate ideas into measurable ML impact. - Contribute to model monitoring, evaluation, and continual learning frameworks. - Establish best practices in model versioning, reproducibility, and scalability.

WHAT WE'RE LOOKING FOR Required: - 3–10 years of experience as an ML Engineer, Applied Scientist, or Research Engineer. - Proficiency in Python and at least one major ML framework: PyTorch, TensorFlow, or JAX. - Strong grasp of ML fundamentals — data preprocessing, feature engineering, model training, and optimization. - Hands-on experience with distributed systems, cloud ML infrastructure (AWS, GCP, or Azure), and MLOps tooling such as Weights & Biases or MLflow.

- Comfort working with large datasets and high-throughput systems. - Strong bias for action, ability to work autonomously, and genuine eagerness to build something from scratch. COMPENSATION & BENEFITS - Salary range: $220,000 – $300,000 USD annually - Early-stage equity commensurate with a founding team role - Opportunity to define technical culture and ML infrastructure at the ground level LOCATION - On-site in Mountain View, California, United States - Remote work is not available for this position

Source listing: ashby_clera